#COMMERCIALLY PRODUCED AND WIDELY AVAILABLE FACIAL RECOGNITION SOFTWARE FOR COMPUTER SYSTEMS

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COMMERCIALLY PRODUCED AND WIDELY AVAILABLE FACIAL RECOGNITION SOFTWARE FOR COMPUTER SYSTEMS

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IPhone XS phones and the complexity of programming codes

The new iPhone XS devices are the most complex and sophisticated phones ever produced by Apple. As far as pure technology is concerned, it is known that the Bionic A12 processor is the first 7-nanometer consumer chip commercially available with 6.9 billion transistors. It has an eight-core CPU capable of generating five trillion operations per second (compared to the last 600 billion A11 bionics per second). That kind of computing power that's in your pocket is something that developers have always dreamed of, and we're not even talking about what it means for AI and ML engines within the application. There are many other technical suggestions to reinforce the fact that it is a complex animal of a telephone. Things like the GPU, Neural Engine, 5G and Gigabit LTE-capable chips, camera and screen resolutions! For native app developers, this level of hardware is matched with new exposed calls that we can use in our code - although this is inherently complex, we have to ask whether this level of complexity and performance can be used in low-code environments. Recently we spoke with Ryan Duguid, Chief Evangelist of Nintex, to understand the complexity of programming on such a complex chip as the Bionic A12 and find out if the low-code has found its correspondence or not. ADM: the new A12 bionic chip in the latest iPhone is extremely complex and intelligent. Do you think the complexity of the new chip has passed the simple programming with low code instructions? Duguid: Not even from a distance. At the end of the day, the goal of our entire industry is to push the limits of what is possible with technology, to constantly innovate, to exploit greater computing power, memory and data transfer rates. At the same time, Nintex's goal is to overcome the limits of what is possible without using the code. Why? We firmly believe that companies can truly become digital by tackling all major and minor problems. This means putting the tools in the hands of people who do not know how to write code or developers looking for the most efficient way to solve a problem. Therefore, we must focus our efforts on advancing artificial intelligence, machine learning, blockchain and other emerging technologies, and find out what it looks like when it is made available in an environment with little or no code. For example, we have already made it possible for our customers to leverage the sensitivity of Azure's cognitive services to bring information into customer service improvement processes or the Google Vision API to help field staff choose defective devices identify which needs to be fixed. ADM: the low-code programming range is limited to the platform to which it is connected. What challenges do low-code platforms have to face when AI and ML have just begun when connecting to AI systems? Duguid: If I had given it to me in 1995, I would have agreed with you, but I think you would be pleasantly surprised at how low-code or visual programming platforms have arrived. To this end, I argue that the scale of these platforms is impressive and is improving as it integrates with the ever-growing range of SaaS platforms. The reason for speeding up this work is the wide acceptance of standards such as REST, JSON and OpenAPI and, fortunately, the main suppliers of AI and ML services comply with these standards. That is, even with the standards in force, one of the greatest challenges of these advanced services is the refinement and dynamism of the service they provide. For example, the Google Vision API offers a powerful set of image analysis functions, including optical character recognition (OCR), handwriting recognition, logo recognition, product search, face recognition, recognition of reference and general attributes of the image. Depending on what you ask the API for informing you of an image, your results will vary considerably. For example, a face search can return a collection of faces, their X, Y coordinates in the image, the position of important facial features such as eyes, eyebrows, mouths, etc., whether the person is happy or sad, whether he's wearing a hat ... call him. If you make this type of functionality available with minimum or no code, you must keep this in mind during design. Microsoft recently purchased Lobe to make AI programming available to everyone. What use do the

best mobile developers

have here? Duguid: Like all visual or low-code programming platforms, Lobe is designed to make some aspects of software delivery faster, easier to manage and in less expensive cases. In this case, Lobe is designed so that mortals have the ability to integrate advanced image and audio analysis capabilities into their apps. This is an advantage, as this type of functionality is usually reserved for high-level professional developers. At the same time, it is a common misconception that low-code platforms or non-code platforms are meant for non-developers, and this is simply not the case. At the end of the day, professional developers can also benefit from this type of skills while performing the task of carrying out activities that are already well understood, so that they can focus on the problems that are unique to each solution. Delivered delivery In addition to accelerating the development of the original solution, the final product is also much more maintainable, providing a level of agility much more difficult to obtain with the custom code.

[safracatz]

How Artificial Intelligence Is Enhancing Mobile App Technology

The tech world has been penetrated by Artificial Intelligence (AI). From your car to your toothbrush, everything will be changed.  It influences the choices that affect your life. Artificial Intelligence is the concept of the ability of a computer to simulate human intelligence. Engineering has now excited and used acts that were once considered exclusively ethical in all industries. Mobile app development companies.

For some time now, smartphones have used AI. The previous generation of telephones was cloud and Internet-based. Nowadays, the difference is that modern smartphones are equipped with built-in AI and cloud-based AI. The rate of expansion of AI is accelerating.

Let us now discuss how AI is enhancing mobile app technology.

AI is the Catalyst in Mobile Apps

In 2016, the growth of AI-led to $39 billion in funding, three times the amount invested in AI three years before that, according to a report by the McKinsey Global Institute. AI continues to improve mobile apps as a catalyst. It supports mobile app development companies through the creation of intelligent software components that can predict user behavior and decide. AI allows mobile applications to learn from user data.

App developers change to new technologies quickly. In the leading app stores there are more than 5 million applications, proving how AI builds unique device experiences for users and adapts to various situations because of automatic learning abilities.

The Wrapping of Artificial Intelligence with the Internet of Things (IoT)

The combination of Artificial intelligence and IoT produces a customized user experience. The customer gathers a wide variety of data in real-time while using the app. Each use has commands or interactions with mobile applications. This real-time data can then be used by AI to create a customized and improved experience.

IoT significantly reduces the time for app development companies. IoT and artificial intelligence will lead to better use of resources and increased efficiency in mobile app growth. We unlock a good part of the bandwidth of their workers together. It provides updated apps and allows data security measures more effective, which is important because mobile apps will always rely on connected devices.

2. Enhances Search Engines

The typical search modes were text and speech. I tell you've seen something that you like to shop, but you don't know how to find it. Visual quest allows you to find what you want, even when the words to describe them don't know. The mobile is an excellent pad for visual search. Google Lens is an example of that.

In certain cases, the search is more accurate and faster than a search by voice or text. Because of its integration with the AI system in mobile applications, Android developers will build an imaging system and a voice recognition system. AI will provide an application position to increase conversion rates.

3. Empowers Real-Time Translation

There are so many language apps that translation is possible. Most of these programs do not work without the internet. Without an internet connection, AI could allow your smartphone to translate different languages on-line.

Simultaneous translation is possible, much like a digital version of what interpreters do, which allows sentences to be almost immediately interpreted without a pause in time.

Artificial intelligence

can be balanced for latency by the translation tool. It means that a user can assess the delay between a word and its translation. This would be particularly useful in certain languages, where better translation would take a long time. 4. Improved Security with Face Unlock  In September 2017, Apple launched Face Unlock. Apple's iPhone X, in tandem with Apple's advanced hardware, uses a face-unlocking algorithm based on AI. The phone can easily recognize the facial of the user, even with face changes such as design or mustache, using AI processing. Google recently announced hands-free, radar-based acts to open the fight. It is quicker, faster and safe to unlock the phone with its hand's free feature. It says that almost in any direction it can open the mobile.

 5. Enhanced Mobile App Authentication

When AI becomes easily available as a commercial tool, it is being used by both criminals and organizations. The world could see many IA-powered cyber-attacks in the future, predicts by cybersecurity experts. This calls for more sophisticated cyber defense systems to be developed. We will also need an advanced level of data protection with the increased use of smartphones. Among Android developers, security has been one of the major concerns.

Conclusion:                    

Via increased artificial intelligence with machine learning and in-depth learning algorithms we may expect the authorship to become a fast, stable and convenient experience for users. AI can provide users with alerts about potential threats. AI can apply to biometric authentication a degree of increase that makes it almost hack resistant. AI algorithms also benefit from identifying and alerting potentially disabled accounts on a real-time basis. You may get in touch with us at Mobile App Development Company in Singapore for a free quote to develop a mobile app for your business. And helps Business owners to reach more customers who want to change their business towards app development, The Company has a very good working environment. To know more about my company, Visit Fusion Informatics. For more queries please send a mail to get a free quote sales@fusioninformatics.com.

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[djgblogger-blog]

CES 2018: Robots, AI, massive data and prodigious plans

http://bit.ly/2n1oEly

This year’s CES was a great show for robots. “From the latest in self-driving vehicles, smart cities, AI, sports tech, robotics, health and fitness tech and more, the innovation at CES 2018 will further global business and spur new jobs and new markets around the world,” said Gary Shapiro, president and CEO, CTA.

But with that breath of coverage and an estimated 200,000 visitors, 7,000 media, 3,000 exhibitors, 900 startups, 2.75 million sq ft of floorspace at two convention centers, hospitality suites in almost every major hotel on the Las Vegas Strip, over 20,000 product announcements and 900 speakers in 200 conference sessions, comes massive traffic (humans, cars, taxis and buses), power outages, product launch snafus and humor:

AI, big data, Amazon, Google, Alibaba and Baidu

“It’s the year of A.I. and conversational interfaces,” said J. P. Gownder, an analyst for Forrester Research, “particularly advancing those interfaces from basic conversations to relationships.” Voice control of almost everything from robots to refrigerators was de rigueur. The growing amount of artificial intelligence software and the race between Amazon, Google and their Chinese counterparts Alibaba and Baidu to be the go-to service for integration was on full display. Signs advertised that products worked with Google Assistant or Amazon’s Alexa or both, or with Duer-OS (Baidu’s conversational operating system) but, by the sheer number of products that worked with the Alexa voice assistant, Amazon appeared to dominate.

“It’s the year when data is no long static and post processed” said Brian Krzanich, Intel’s CEO.  He also said: “The rise of autonomous cars will be the most ambitious data project of our lifetime.” In his keynote presentation he demonstrated the massive volume of data involved in the real-time processing needs of autonomous cars, sports events, smart robotics, mapping data collection and a myriad other sources of data-driven technology on the horizon.

Many companies were promoting their graphics, gaming, and other types of processors. IBM had a large invite-only room to show their Quantum Computer. Their 50-qubit chip is housed in that silver canister at the bottom of the thing/computer. Not shown is the housing which keeps the device super cool. IBM is making the computer available via the cloud to 60,000 users working on 1.7 million experiments as well as commercial partners in finance, materials, automotive and chemistry. (Intel showed their 49-qubit chip code-named Tangle Lake in a segment in Krzanich’s keynote.)

Robots, robotics and startups

Robots were everywhere ranging from ag bots, tennis bots, drones, robot arms, robot prosthetics and robot wheelchairs, to smart home companions, security robots and air, land and sea drones. In this short promotional video produced by CES, one can see the range of products on display. Note the quantity of Japanese, Chinese and Korean manufacturers.



One of the remarkable features of CES is what they call Eureka Park. It’s a whole floor of over 900 startup booths with entrepreneurs eager to explain their wares and plans. The area was supported by the NSF, Techstars and a host of others. It’s a bit overwhelming but absolutely fascinating.

Because it’s such a spread-out show, locations tend to blur. But I visited all the robotics and related vendors I could find in my 28,000-step two-day exploration and the following are ones that stuck out from the pack:

LiDAR and camera vision systems providers for self-driving vehicles, robots, and automation such as Velodyne, Quanergy and Luminar were everywhere showing near and far detection ranges, wide, narrow and 360° fields of view, and solid state or other conventional as well as software to consolidate all that data and make it meaningful.

Innoviz Technologies, an Israeli startup that has already raised $82 million, showed their solid state device (Pro) available now and their low-cost automotive grade product (One) available in 2019.

Bosch-supported Chinese startup Roadstar.ai is developing Level 4 multi-sensor fusion solutions (cameras, LiDARs, radars, GPS and others).

Beijing Visum Technology, another Chinese vision system startup, but this one uses what they called ‘Natural Learning’ to continually improve what is seen by their ViEye, stereoscopic, real-time vision detection system for logistics and industrial automation.

Korean startup EyeDea displayed both a robot vision system and a smart vision module (camera and chip) for deep learning and obstacle avoidance for the auto industry.

Occipital, a Colorado startup developing depth sensing tech using twin infrared shutter cameras for indoor and outdoor for scanning and tracking.

Aeolus Robotics, a Chinese/American startup working on a $10,000 home robot with functional arms and hands and comms and interactivity that are similar to what IBM’s Watson offers, appeared to be focused toward selling their system components: object recognition, facial/pedestrian recognition, deep learning perception systems and auto safety cameras which interpret human expressions and actions such as fatigue.

SuitX, a Bay Area exoskeleton spin-off from Ekso Bionics, focused on providing modular therapeutic help for people with limited mobility rather than industrial uses of assistive devices. Ekso, which wasn’t at CES, is providing assistive systems that people strap into to make walking, lifting and stretching easier for employees and the military.

There were a few marine robots for photography, research and hull inspection:

Sublue Underwater AI, a Chinese startup, had a tank with an intelligent ROV capable of diving down to 240′ while sending back full HD camera and sensor data. They also make water tows.

RoboSea, also a Chinese startup, was showing land and sea drones for entertainment, research and rescue and photography.

QYSea, a Chinese startup making a 4k HD underwater camera robot which can go to a depth of 325′.

CCROV, a brand of the Vxfly incubater of China’s Northwestern Polytechnical University, demonstrated a 10-pound tethered camera box with thrusters that can dive more than 300′. The compact device is designed for narrow underwater areas and dangerous environments for people.

All were well-designed and packaged as consumer products.

UBTech, a Chinese startup that is doing quite well making small humanoid toy robots including their $300 StarWars StormTrooper showed that their line of robots are growing from toys to service robots. They were demonstrating the first video-enabled humanoid robot with an Amazon Alexa communication system touting its surveillance capabilities and Avatar modes for this little (17″ tall) walking robot. It not only works with Alexa but can also get apps and skills and accept controls from iOS and Android. Still, like many of the other home robots, they can’t grasp objects, consequently they can’t perform services beyond remote presence and Alexa-like skills.

My Special Aflac Duck won the CES Best Unexpected Product Award for a social robot designed to look like the white Aflac duck but also designed to help children coping with cancer. This is the second healthcare-related robotic device for kids from Sproutel, the maker of the duck. Their first product was Jerry the Bear for diabetic kids.

YYD Robo, another Chinese startup, was demonstrating a line of family companion, medical care robots (although the robot’s hands could not grasp), which also served as child care and teaching robots. This Shenzhen-based robot company says they are fully-staffed and have a million sq ft of manufacturing space, yet the robots weren’t working and their website doesn’t come up.

Hease Robotics, a French mobile kiosk startup, showed their Heasy robotic kiosk as a guide for retail stores, office facilities and public areas. At CES, there were many vending machine companies showing how they are transitioning to smart machines – and in some cases, smart and robotic as the Heasy robotic kiosk.

Haapie SAS, also a French startup, was showing their tiny interactive, social and cognitive robots – consumer entertainment and Alexa-like capabilities. Haapie also integrates their voice recognition, speech synthesis and content management into smartphone clients.

LG, the Korean consumer products conglomerate, showed an ambitious line of robot products they called CLOi. One is an industrial floor cleaner for public spaces which can also serve as a kiosk/guide; another has a build-in tray for food and drink delivery in hotels; and a third can carry luggage and will follow customers around stores, airports and hotels. During a press conference, one of the robots tipped over and another wouldn’t hear instructions. Nevertheless all three were well-designed and purposed and the floor cleaner and porter robots are going to help out at the airport for next month’s Winter Olympics.

Two Chinese companies showed follow-me luggage: 90FUN and their Puppy suitcase and ForwardX and their smart suitcases. 90FUN is using Ninebot/Segway follow-me technology for their Puppy.

Twinswheel, a French startup, was showing a prototype of their parcel delivery land drone for factories, offices and last-mile deliveries.

Dobot is a Chinese inventor/developer of a transformable robot and 3D printer for educational purposes and a multi-functional industrial robot arm. They also make a variety of vision and stabilizing systems which are incorporated into their printers and robots. It’s very clever science. They even have a laser add-on for laser cutting and/or engraving. Dobot had a very successful Kickstarter campaign in 2017.

Evolver Robots is a Chinese developer of mobile domestic service robots specifically designed for children between the ages of 4-12 offering child education, video chat, games, mobile projection and remote control via smartphone.

Although drones had their own separate area at the show, there were many locations where I found them. From the agricultural spraying drones by Yamaha, DJI and Taiwanese Geosat Aerospace to the little deck-of-cards-sized ElanSelfie or the fold-into-a-5″ X 1/2″ high AEE Aviation selfie drone from Shenzhen, nothing stood out amongst the other 40+ drone vendors to compete with the might of DJI (which had two good-sized booths in different locations).

Segway (remember Dean Kamen?) is now fully owned by Ninebot, a Beijing provider of all types of robotic-assisted self-balancing scooters and devices. They are now focused on lifestyle and recreational riders in the consumer market including the Loomo which you ride like a hoverboard and then load it up with cargo and have it follow you home or to another place in the facility. At their booth they were pushing the Loomo for logistics operations however it can’t carry much and has balance problems. They would do better having it tow a cart.

Yujin Robot, a large Korean maker of robotic vacuums, educational robots, industrial robots, mobility platforms for research and a variety of consumer products, was showing their new logistics transport system GoCart with three different configurations of autonomous point-to-point robots.

The Buddy robot from Blue Frog Robotics won CES’s Robotics and Drones Innovation Award along with Soft Robotics and their grippers and control system that can pick items of varying size, shape and weight with a single device. Jibo, the Dobot (mentioned above) and 14 others also received the Robotics and Drones Innovation Award.

[The old adage in robotics that for every service robot there is a highly-skilled engineer by its side is still true… most of the social and home robots frequently didn’t work at the show and were either idle or being repaired.]

Silly things

A local strip club promoted their robotic pole dancers (free limo).

At a hospitality suite across from the convention center, the head of Harmony, the sex robot by San Diego area Abyss Creations (RealDoll), was available for demos and interviews. It will begin shipping this quarter at $8-$10,000.

Crowd-drawing events were everywhere but this one drew the largest audiences: Omron’s ping-pong playing robot.

FoldiMate, a laundry folding robot, requires a human to feed the robot one article at a time for it to work (for just $980 in late 2019). Who’s the robot?

And Intel’s drones flew over the Bellagio hotel fountains in sync with the water and light musical show. Very cool.

ABC’s Shark Tank, the hit business-themed funding TV show, was searching for entrepreneurs with interesting products at an open call audition area.

Bottom Line

Each time I return from a CES (I’ve been to at least six) I swear I’ll never go again. It’s exhausting as well as overwhelming. It’s impossible to get to all the places one needs to go — and it’s cold. Plus, once I get there, the products are often so new and untested, that they fail or are over-presented with too much hype. (LG’s new CLOi products failed repeatedly at their press conference; Sony’s Aibo ignored commands at the Sony press event.)

I end up asking myself “Is this technology really ready for prime time? Will it be ready by their promised delivery dates? Or was it all just a hope-fest? A search for funding?” I still have no answer… perhaps all are true; perhaps that’s why I keep going. It’s as if my mind sifted through all the hype and chaff and ended up with what’s important. There’s no doubt this show was great for robotics and that Asian (particularly Chinese) vendors are the new power players. Maybe that’s why I copied down the dates for CES 2018.

[delightfulcollectiontacothi-blog]

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